Xpengmotors

Staff Robotics Engineer / Tech Lead – Whole-Body Control & Robot Learning

Santa Clara, CA · Staff+ · Full-time

Sponsorship not specified$215k-$364kDetected 57 days ago

AlgorithmsCode ReviewMachine LearningRoboticsMechanical DesignElectrical EngineeringControlsResearchCommunicationMentoring

About the role

With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
The ideal candidate brings strong engineering judgment, clear communication, and the ability to help other engineers move faster and make better technical decisions.
Our salary ranges are determined by role, level, and location.

Mentor other engineers through design reviews, code reviews, experiments, and technical discussions.

Master's or Ph.D. degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
Strong ownership mindset and ability to operate effectively in a fast-moving, ambiguous, research-to-product environment.
Experience technically leading projects or mentoring other engineers.
Hands-on experience with legged robot control, testing, or operation.

Competitive compensation, equity, benefits.
Develop control and learning-based algorithms for humanoid robot locomotion, whole-body control, motion generation, and sim-to-real transfer.
5+ years of relevant experience in reinforcement learning, robotics, robot learning, control systems, or related areas.
Strong background in robot dynamics, control, motion planning, reinforcement learning, imitation learning, or whole-body control.
Familiarity with modern robot learning methods such as PPO, SAC, behavior cloning, diffusion policies, imitation learning, etc.
Publications or strong project experience in robotics, reinforcement learning, legged locomotion, humanoid control, or embodied AI are a plus.

This listing is sourced directly from Xpengmotors's careers page and normalized into a canonical job model.